The survey, which was fielded by FiercePharma, includes responses from 100 experts directly involved in healthcare analytics at organizations worldwide.
Many things are taking place:
Uncovering the Potential of Advanced Analytics in International Price Management | Pharmaceutical
How can pharmaceutical companies successfully apply advanced analytics? Pricing experts from Simon-Kucher & Partners identify the hurdles and winning approaches.
One area where there has not been much evidence is how advanced analytics has impacted or can benefit pricing and market access (P&MA). Our research provides a better understanding of the key value drivers and success factors for companies looking to use advanced analytics to stay ahead of the competition.
Ligalytics Uses FICO Analytics to Optimize Sports Schedules
"Sports league schedules pose difficult analytical challenges because of interdependent considerations and constraints," said Professor Dr. Stephan Westphal , executive director of Ligalytics , with a track record of more than 15 years in sports scheduling. "Such schedules should increase the number of spectators while balancing the availability of sports sites, broadcast schedules, sponsors' wishes and the need to have schedules that achieve a fair balance between weak and strong teams.
Analytics, Insurance Drive Financial Wellness | PYMNTS.com
There may be cause to be a bit sanguine, as Sheehan noted. "One thing that we've learned a great deal about with respect to financial wellness and awareness is that, in times of uncertainty, people actually take the time to step back and take a look at what their financial needs are," she said.
The company offers banks and credit unions individualized direct marketing campaigns based on advanced technologies and data analytics to help craft digital and direct mail campaigns. The pandemic, perhaps not surprisingly, has spurred interest and purchasing of insurance products.
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Comprehend control loops to unlock analytics for IoT
Data plus analytics equals decisions. The question IoT development teams must answer is how to apply analytics for IoT technology. IoT analytics requires architects to understand that where and how they design analytics in the control loop can reduce latency for applications.
The control loop, sometimes called the workflow, is core to IoT analytics. The control loop starts with sensors, moves through a local controller, edge computing and, finally, into IT infrastructure, such as an analytics platform or a database.
Data Analytics Model Gages False-Negative Rate for COVID-19 Tests
Until enough Americans have received the vaccine, public officials believe that safely opening up schools, restaurants, and other public spaces will rely on widespread COVID-19 testing. As of June 2020, the FDA had granted emergency use authorization for more than 85 different viral DNA test kits, or assays, each with varying degrees of sensitivity and unknown rates of accuracy.
Researchers at Beth Israel Deaconess Medical Center (BIDMC) have developed a data analytics model to assess tests’ false-negative rate. The approach allows a comparison of the various assays’ clinical sensitivity.
How Capital One Moved Its Data Analytics to the Cloud - SPONSOR CONTENT FROM SNOWFLAKE
As one of the first U.S. banks to go all-in on the cloud, Capital One has been a leader in technology-driven banking. In 2020, it became the first U.S. bank to report it had moved from its legacy on-premises data centers to the public cloud. The change has helped the bank shift resources from managing IT operations toward building more innovative, personalized customer experiences.
To make that change, Capital One needed a cloud data platform that could tackle several challenges at once: scaling seamlessly on its predominant cloud provider, Amazon Web Services (AWS); supporting thousands of analysts running complex models simultaneously; and meeting the security and compliance needs of its strict regulatory environment. The bank looked to the Snowflake Data Cloud to modernize its data operations.
Texas power outage: Data analytics, modeling and policy making will be key to preventing similar
Karen Roby: I would think a lot of people, until the last couple of weeks with what we saw down in Texas, wouldn't think twice about the electric grid and whether or not their power will be on or off for a sustained amount of time. What we do know from this is there's going to be a lot of finger-pointing when it comes to what went wrong. How do we keep this from happening again?
Rob Robinson: You're right. This is something that I think there's going to be a lot of critical questions about what should we have known? What should we have communicated? What decisions should we have made? There's a lot of events on the grid, and we've learned a lot from the Northeast Blackout of 2003 on forward. Every time, the industry, and specifically utilities, learn about how their grid behaves, how generation and demand behave.
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